Learn the theory behind Linux CPU usage metrics, how the kernel’s jiffies and /proc/stat values are interpreted, the formula for calculating utilization over intervals, and practical commands like top, ps, and pidstat to observe real‑time CPU performance on servers and desktops.
This guide explains when CPU context switches happen, how to monitor them with vmstat and pidstat, interprets key metrics such as cswch and nvcswch, and provides step‑by‑step analysis techniques for identifying and troubleshooting CPU performance issues on Linux systems.
This guide covers Linux performance analysis tools—including top, htop, iotop, pidstat, iostat, sar, and vmstat—detailing installation, usage, key metrics, troubleshooting scenarios, monitoring integration with Prometheus, and best‑practice recommendations for effective system diagnostics and capacity planning.
This article provides an in‑depth, step‑by‑step walkthrough of Linux performance optimization, covering key metrics such as throughput and latency, how to interpret average load, CPU and memory usage, context‑switch analysis, common bottlenecks, and the most effective tools (vmstat, pidstat, perf, strace, dstat, etc.) with concrete command examples and real‑world case studies to help you diagnose and resolve performance issues.
This article provides a comprehensive walkthrough of the Linux I/O stack architecture, explains key performance metrics, demonstrates how to use tools such as iostat, pidstat, strace and lsof, and presents a step‑by‑step case study for locating I/O bottlenecks on a high‑traffic web server.
This article explains what Linux context switching is, details the information stored in a process control block, distinguishes between process, thread, and interrupt context switches, and shows how to monitor them using vmstat and pidstat commands.
This guide explains what system context switches are, how to monitor them using vmstat and pidstat, provides a practical stress‑ng example that spikes switches, breaks down kernel thread kworker/u256:29-flush-8:0, and clarifies the difference between voluntary and non‑voluntary switches to help troubleshoot performance issues.
This article explains Linux disk I/O performance metrics, benchmark methods, observation tools like iostat, pidstat, and iotop, and walks through a practical case of diagnosing and resolving an I/O spike caused by the jbd2 journaling process.
This guide explains essential Linux monitoring tools—top, vmstat, pidstat, iostat, netstat, sar, and tcpdump—detailing the metrics they expose, how to interpret CPU, memory, disk, and network statistics, and practical command examples for effective server performance troubleshooting.
This guide walks you through essential Linux monitoring tools—htop/top for CPU usage, /proc files for hardware details, uptime and sar for load averages, pidstat for per‑process metrics, strace for system calls, lsof for open files, and network utilities like netstat and ss—providing commands, options, and interpretation tips to help you diagnose performance issues efficiently.
This guide explains how to monitor disk usage on CentOS 7, collect snapshots with iostat, sar and pidstat, troubleshoot common errors, and finally use SystemTap to pinpoint the exact process that is writing to a specific file.
Learn the essential Linux disk I/O performance metrics—utilization, saturation, IOPS, throughput, and response time—and discover how to monitor them using iostat, pidstat, and iotop, with practical examples and guidance for interpreting /proc/diskstats data and evaluating storage bottlenecks.
This guide explains what CPU context switches are, how to monitor them with vmstat and pidstat, analyzes a sysbench‑generated load case, examines interrupt sources, and provides practical thresholds and troubleshooting steps to improve Linux system performance.
This guide explains how to monitor Linux CPU usage, scheduler queues, lock contention, network I/O, and disk I/O using graphical tools and command‑line utilities such as gnome‑system‑monitor, vmstat, pidstat, nicstat, and iostat, with syntax, parameters, example outputs, and installation steps.
This article explains Linux’s storage I/O stack, defines the five core performance metrics—utilization, saturation, IOPS, throughput, and response time—and demonstrates how to monitor them using tools such as iostat, pidstat, and iotop, with practical command examples.
This article explains the Linux storage I/O stack, defines the five key disk performance metrics, and shows how to monitor both disk and process I/O using iostat, pidstat, and iotop, with practical command examples and interpretation tips.
This article explains how excessive Linux CPU context switches affect system performance and shows step‑by‑step how to monitor and analyze them using vmstat, pidstat, and sysbench, including interpreting voluntary versus involuntary switches and interrupt statistics.
This article explains the key Linux disk performance indicators—utilization, saturation, IOPS, throughput, and response time—and shows how to monitor them using tools such as iostat, pidstat, and iotop, including practical command examples and interpretation tips.
This guide explains how to monitor Linux server performance using built‑in tools such as top, vmstat, pidstat, iostat, netstat, sar and tcpdump, detailing the metrics each provides and how to interpret them for CPU, memory, disk I/O and network troubleshooting.
This guide explains how to use core Linux tools such as top, vmstat, pidstat, iostat, sar, netstat, and tcpdump to monitor CPU, memory, disk I/O, and network performance, interpret their metrics, and troubleshoot common bottlenecks on servers.
This guide walks through essential Linux server monitoring tools—top, vmstat, pidstat, iostat, netstat, sar, and tcpdump—explaining their output fields, what each metric reveals about CPU, memory, disk I/O, and network performance, and how to use them for effective troubleshooting and capacity planning.
This guide explains how to use common Linux monitoring utilities—top, vmstat, pidstat, iostat, sar, netstat, and tcpdump—to observe CPU, memory, disk I/O, and network performance, interpret their output, and troubleshoot system bottlenecks effectively.
This article explains what Linux load average actually measures, distinguishes it from CPU utilization, and demonstrates how to interpret and monitor load with practical stress‑test scenarios using tools like uptime, mpstat, and pidstat.
This guide walks through dozens of Linux performance‑monitoring utilities—including top, perf, sar/ksar, mpstat, uptime, vmstat, pidstat, htop, atop, glances, nmon, pcp‑gui, collectl, and colplot—explaining what each tool measures, how to invoke it, key command‑line options, sample outputs, and where to find further documentation.
This guide walks you through essential Linux server monitoring tools—top, vmstat, pidstat, iostat, netstat, sar, and tcpdump—explaining each metric, how to interpret CPU, memory, disk, and network statistics, and offering practical tips for troubleshooting performance bottlenecks.
This article introduces key Linux monitoring utilities—top, vmstat, pidstat, iostat, netstat, sar, and tcpdump—explains the meaning of their output fields, and shows how to use them to diagnose CPU, memory, disk, and network performance issues on production servers.
This article walks through key Linux performance monitoring tools—top, vmstat, pidstat, iostat, sar, netstat, and tcpdump—explaining their output fields, how to interpret CPU, memory, disk, and network metrics, and how to use them for effective system troubleshooting.
This guide explains how to use core Linux performance tools such as top, vmstat, pidstat, iostat, netstat, sar, and tcpdump to monitor CPU, memory, disk I/O, and network activity, interpret their metrics, and troubleshoot common bottlenecks on servers.
This guide explains how to use Linux performance monitoring utilities such as top, vmstat, pidstat, iostat, sar, netstat, and tcpdump, describing each tool's output fields and showing how to interpret them for effective troubleshooting of CPU, memory, disk, and network issues.
This article shows how to detect a CPU0 load imbalance on a multi‑core web server, confirms PHP‑FPM as the cause with mpstat and pidstat, and provides a Bash script that uses taskset to evenly distribute PHP‑FPM processes across all CPUs, plus a cron tip to keep the setting persistent.
This guide walks Java developers through practical performance analysis using the Hprof agent and pidstat tool, demonstrates step‑by‑step command usage with real code examples, and presents a memory‑leak case study that explains GC overhead limits, dump analysis, and concrete remediation steps.
This guide explains how to use the Linux pidstat command to monitor process-level CPU, memory, and I/O statistics, covering column meanings, various command options, and examples for specific processes and child processes.
